Dry separation for open-pit lignite based on T104 intelligent separator

ZHANG Fucheng; LI Zhiyong; SONG Renzhong; HOU Xingye; SHI Guangyang; YAN Jiawen; SHE Changchao; GUO Jin

doi:10.11799/ce202412046

Abstract：Addressing the issues of poor raw coal quality,severe weathering and mudding,and harsh natural conditions at Shengli No.1 Open-pit Coal Mine,an enhanced T104 intelligent coal gangue separator,equipped with improved high and low-energy array detectors in conjunction with advanced adaptive machine learning methods,achieved higher precision in coal separation.Auxiliary equipment such as mobile crushing stations,raw coal scraper conveyors,and screening facilities were utilized concurrently to complete the separation of lignite gangue underground.Through intelligent separation of raw coal from the No.5-upper and No.5 coal seams,the raw coal calorific value increased from an average of 1456～1540 cal/g to above 2000 cal/g,with a recognition rate for cleaned coal and gangue as high as 98.45%.Compared with traditional manual stripping methods,the coal recovery rate increased from 12.8%to approximately 35%,meaning that processing 3 million tons of raw coal can yield about 1 million tons of cleaned coal meeting the calorific value requirements.To obtain the same 1 million tons of cleaned coal,4.8 million tons of raw coal resources can be saved,valued at approximately 220 million yuan.This technology not only enhances the utilization rate and added value of coal resources but also reduces production costs and environmental pollution,providing a new direction for the transformation and upgrading of the coal mining industry.